Supply Chain Big Data Analytics Market is expected to reach US$ 14.83 Bn. by 2029, at a CAGR of 17.3% throughout the forecast period. The report includes an analysis of the impact of COVID-19 lockdown on the revenue of market leaders, followers, and disruptors. Since the lockdown was implemented differently in various regions and countries; the impact of the same is also seen differently by regions and segments. The report has covered the current short-term and long-term impact on the market, and it would help the decision-makers to prepare the outline and strategies for companies by region.Supply Chain Big Data Analytics Definition:
Big Data Analytics involves the use of advanced analytics techniques to extract valuable knowledge from vast amounts of data, facilitating data-driven decision-making. Big Data Analytics consists of three different levels of analytics. Prescriptive Analytics finds application data from processes such as Manufacturing, Logistics, Transportation and Warehousing along with newly introduced processes such as Cyber-Physical Systems in the Industry 4.0 trend.To know about the Research Methodology :- Request Free Sample Report Predictive analytics finds strong applications in Procurement, Risk assessment, Risk Management, Forecasting. Descriptive analytics finds application in the development of effective and summarizing reports on raw data that is easy for human interpretation.
Supply Chain Big Data Analytics Market Dynamics:
With the world moving towards the Industry 4.0 Standard, the number of machines, processes, and services generating and collecting large quantities of data will increase greatly in the future. This will give rise to Big Data, which is enormous amounts of data that cannot be processed with conventional computation techniques. To uncover patterns in the huge amounts of data and gain valuable insights into it, Big Data Analytics is used. Supply Chain is a significant contributor to Big Data, wherein the diversity of information is large. The data accumulated by Supply Chain contains information from the key entities such as manufacturing, logistics, and retail. The use of Big Data Analytics on a collection of such data sets can cultivate a proactive decision-making approach for predicting key opportunities and risks in the Supply Chain, which acts as the driving factor for the growth of the Global Supply Chain Big Data Analytics Market. With the technological advancements across the Supply Chain, data generated is increasing at a fast rate. The information flow was documented in terms of physical documents until the use of Information Technology in the Supply Chain. Now, the majority of the information flow linked to the material flow is being documented in the form of digital structured data. As the scope of the Supply Chain is currently worldwide, the volume of data collected from its numerous processes and the velocity at, which it is being generated can be qualified as Big Data. In addition to this, entities such as marketing and sales are now relying on the analysis of the unstructured data along with the structured data to gain better insights on customer needs and improve upon the cost aspects of Supply Chain processes. The use of Big Data can offer a significant value in areas such as product development, market demand predictions, supplying decisions, distribution optimization, and customer feedback. According to a statistical observation about the growth of data from different sources, the data collected from Transactions, Social Media, Sensors and RFID scans or POS (Point of Sale) were recorded to be 88%, 43%,43%, 42%, and 41% respectively, ranking them amongst the top 8 sources for data generation and analytics. The number of companies competing to utilize this data is increasing at a fast rate. The right utilization of this data is crucial to the transformation of businesses across the globe, which has proved to be a paradigm for all the upcoming businesses. However, in some applications, such as maritime transportation and sea-based logistics, the collection of data through RFID scans and sensors is very difficult due to the nature of the application or environment, which has increased the demand for supply chain big data analytics. Security and privacy issues by enterprises as it contains confidential data is expected to hamper the growth of the Global Supply Chain Big Data Analytics Market.Supply Chain Big Data Analytics Market Segment Analysis:
The report groups the Global Supply Chain Big Data Analytics Market in different segments like by component, deployment mode, enterprise size, end-user, and region to forecast the revenues and analyze the market share of each segment over the forecast period. Based on Component, the Software segment was dominant in 2022 and is expected to command a market share of xx% by 2029. The software includes demand analysis and forecasting, Supplier performance analytics, Spend and procurement analytics, Inventory analytics and Transportation and logistics analytics. The demand analysis and forecasting software are one of the major software used in supply chain analytics, which helps companies to forecast the future demand of the product based on past data. Demand analysis helps the company to manage the inventory levels ensuring the products are not overstocked or understocked. The demand analysis and forecasting facilitate businesses to boost their service levels, shorten cycle times and reduce inventory investment. Based on Deployment mode, the cloud-based segment was dominant in 2022 and is expected to command a market share of xx% by 2029. Cloud-based solutions have various benefits like cost control, resource pooling and less implementation time, which acts as the main driving factors for the growth of the segment. It also enables the enterprise to have control over their server, infrastructure and systems that can be configured as per the business requirements. Based on end-user, the Global Supply Chain Analytics Market is segmented into Manufacturing, Food and Beverages, Healthcare, Automotive, Aerospace, Retail, and Consumer-Packaged Goods.Supply Chain Big Data Analytics Market Regional Insights:
GLOBAL SUPPLY CHAIN BIG DATA ANALYTICS MARKET REGIONAL MAP North America is expected to command the largest market share of xx% by 2029 Enterprises in developed economies of North America like the US and Canada have a higher Business Intelligence and analytics adoption rate compared to other regions. The increasing volume of information generated from enterprise applications is primarily driving the market in the region. Companies are adopting an acquisition strategy to strengthen their presence in the US market. Also, because of the presence of a large number of solution vendors in the developed economies like the US and Canada the demand for supply chain analytics is more in the region. The objective of the report is to present a comprehensive analysis of the Global Supply Chain Big Data Analytics Market to the stakeholders in the industry. The past and current status of the industry with forecasted market size and trends are presented in the report with the analysis of complicated data in simple language. The report covers all the aspects of the industry with a dedicated study of key players that include market leaders, followers, and new entrants. PORTER, SVOR, PESTEL analysis with the potential impact of micro-economic factors of the market have been presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analyzed, which will give a clear futuristic view of the industry to the decision-makers. The report also helps in understanding the Global Supply Chain Big Data Analytics Market dynamics, structure by analyzing the market segments and projects the Global Supply Chain Big Data Analytics Market size. Clear representation of competitive analysis of key players by product, price, financial position, product portfolio, growth strategies, and regional presence in the Global Supply Chain Big Data Analytics Market make the report investor’s guide.Supply Chain Big Data Analytics Market Scope: Inquire before buying
Supply Chain Big Data Analytics Market Report Coverage Details Base Year: 2022 Forecast Period: 2023-2029 Historical Data: 2017 to 2022 Market Size in 2022: US $ 4.85 Bn. Forecast Period 2023 to 2029 CAGR: 17.3% Market Size in 2029: US $ 14.83 Bn. Segments Covered: by Component • Software o Demand analysis and forecasting o Supplier performance analytics o Spend and procurement analytics o Inventory analytics o Transportation and logistics analytics • Services o Managed services o Professional services by Enterprise type • Large Enterprises • SME by Deployment Mode • On Premise • Cloud based by End-User • Manufacturing • Food and Beverages • Healthcare • Automotive • Aerospace • Retail • Consumer-Packaged Goods Global Market, by Region
• North America (United States, Canada and Mexico) • Europe (UK, France, Germany, Italy, Spain, Sweden, Austria and Rest of Europe) • Asia Pacific (China, South Korea, Japan, India, Australia, Indonesia, Malaysia, Vietnam, Taiwan, Bangladesh, Pakistan and Rest of APAC) • Middle East and Africa (South Africa, GCC, Egypt, Nigeria and Rest of ME&A) • South America (Brazil, Argentina Rest of South America)Supply Chain Big Data Analytics Market Key Players
• SAP • Oracle • IBM • SAS Institute • Software AG • MicroStrategy • Tableau • Qlik • TIBCO • Cloudera • Logility • Savi Technology • Infor • RELEX Solutions • TARGIT • Voxware • The AnyLogic Company • Antuit • Axway • AIMMS • BRIDGEi2i • Domo • Datameer • 1010data • Rosslyn Analytics • Blue Yonder • Manhattan Associates • DataFactZ Frequently Asked Questions: 1. Which region has the largest share in Global Supply Chain Big Data Analytics Market? Ans: North America region held the highest share in 2022. 2. What is the growth rate of Global Supply Chain Big Data Analytics Market? Ans: The Global Supply Chain Big Data Analytics Market is growing at a CAGR of 17.3% during forecasting period 2023-2029. 3. What is scope of the Global Supply Chain Big Data Analytics Market report? Ans: Global Supply Chain Big Data Analytics Market report helps with the PESTEL, PORTER, COVID-19 Impact analysis, Recommendations for Investors & Leaders, and market estimation of the forecast period. 4. Who are the key players in Global Supply Chain Big Data Analytics Market? Ans: The important key players in the Global Supply Chain Big Data Analytics Market are – SAP, Oracle, IBM, SAS Institute, Software AG, MicroStrategy, Tableau, Qlik, TIBCO, Cloudera, Logility, Savi Technology, Infor, RELEX Solutions, TARGIT, Voxware, The AnyLogic Company, Antuit, Axway, AIMMS, BRIDGEi2i, Domo, Datameer, 1010data, Rosslyn Analytics, Blue Yonder, Manhattan Associates, and DataFactZ 5. What is the study period of this Market? Ans: The Global Supply Chain Big Data Analytics Market is studied from 2022 to 2029.
1. Preface 1.1. Market Definition and Key Research Objectives 1.2. Research Highlights 2. Assumptions and Research Methodology 2.1. Report Assumptions 2.2. Abbreviations 2.3. Research Methodology 2.3.1. Secondary Research 2.3.1.1. Secondary data 2.3.1.2. Secondary Sources 2.3.2. Primary Research 2.3.2.1. Data from Primary Sources 2.3.2.2. Breakdown of Primary Sources 3. Executive Summary: Global Supply Chain Big Data Analytics Market Size, by Market Value (US$ Mn) 3.1. Global Market Segmentation 3.2. Global Market Segmentation Share Analysis, 2022 3.2.1. Global 3.2.2. By Region (North America, Europe, Asia Pacific, South America, Middle East Africa) 3.3. Geographical Snapshot of the Supply Chain Big Data Analytics Market 3.4. Geographical Snapshot of the Supply Chain Big Data Analytics Market, By Manufacturer share 4. Global Supply Chain Big Data Analytics Market Overview, 2022-2029 4.1. Market Dynamics 4.1.1. Drivers 4.1.1.1. Global 4.1.1.2. By Region (North America, Europe, Asia Pacific, South America, Middle East Africa) 4.1.2. Restraints 4.1.2.1. Global 4.1.2.2. By Region (North America, Europe, Asia Pacific, South America, Middle East Africa) 4.1.3. Opportunities 4.1.3.1. Global 4.1.3.2. By Region (North America, Europe, Asia Pacific, South America, Middle East Africa) 4.1.4. Challenges 4.1.4.1. Global 4.1.4.2. By Region (North America, Europe, Asia Pacific, South America, Middle East Africa) 4.1.5. Industry Trends and Emerging Technologies 4.1.6. Porters Five Forces Analysis 4.1.6.1. Threat of New Entrants 4.1.6.2. Bargaining Power of Buyers/Consumers 4.1.6.3. Bargaining Power of Suppliers 4.1.6.4. Threat of Substitute Products 4.1.6.5. Intensity of Competitive Rivalry 4.1.7. Value Chain Analysis 4.1.8. Technological Roadmap 4.1.9. Regulatory landscape 4.1.10. Impact of the Covid-19 Pandemic on the Global Supply Chain Big Data Analytics Market 5. Supply Side and Demand Side Indicators 6. Global Supply Chain Big Data Analytics Market Analysis and Forecast, 2022-2029 6.1. Global Supply Chain Big Data Analytics Market Size & Y-o-Y Growth Analysis. 7. Global Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 7.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 7.1.1. Software 7.1.1.1.1. Demand analysis and forecasting 7.1.1.1.2. Supplier performance analytics 7.1.1.1.3. Spend and procurement analytics 7.1.1.1.4. Inventory analytics 7.1.1.1.5. Transportation and logistics analytics 7.1.2. Services 7.1.2.1.1. Managed services 7.1.2.1.2. Professional services 7.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 7.2.1. On Premise 7.2.2. Cloud based 7.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 7.3.1. Large Enterprises 7.3.2. SME 7.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 7.4.1. Manufacturing 7.4.2. Food and Beverages 7.4.3. Healthcare 7.4.4. Automotive 7.4.5. Aerospace 7.4.6. Retail 7.4.7. Consumer-Packaged Goods 8. Global Supply Chain Big Data Analytics Market Analysis and Forecasts, By Region 8.1. Market Size (Value) Estimates & Forecast By Region, 2022-2029 8.1.1. North America 8.1.2. Europe 8.1.3. Asia-Pacific 8.1.4. Middle East & Africa 8.1.5. South America 9. North America Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 9.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 9.1.1. Software 9.1.1.1.1. Demand analysis and forecasting 9.1.1.1.2. Supplier performance analytics 9.1.1.1.3. Spend and procurement analytics 9.1.1.1.4. Inventory analytics 9.1.1.1.5. Transportation and logistics analytics 9.1.2. Services 9.1.2.1.1. Managed services 9.1.2.1.2. Professional services 9.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 9.2.1. On Premise 9.2.2. Cloud based 9.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 9.3.1. Large Enterprises 9.3.2. SME 9.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 9.4.1. Manufacturing 9.4.2. Food and Beverages 9.4.3. Healthcare 9.4.4. Automotive 9.4.5. Aerospace 9.4.6. Retail 9.4.7. Consumer-Packaged Goods 10. North America Supply Chain Big Data Analytics Market Analysis and Forecasts, By Country 10.1. Market Size (Value) Estimates & Forecast By Country, 2022-2029 10.1.1. US 10.1.2. Canada 10.1.3. Mexico 11. U.S. Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 11.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 11.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 11.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 11.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 12. Canada Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 12.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 12.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 12.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 12.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 13. Mexico Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 13.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 13.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 13.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 13.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 14. Europe Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 14.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 14.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 14.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 14.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 15. Europe Supply Chain Big Data Analytics Market Analysis and Forecasts, By Country 15.1. Market Size (Value) Estimates & Forecast By Country, 2022-2029 15.1.1. U.K 15.1.2. France 15.1.3. Germany 15.1.4. Italy 15.1.5. Spain 15.1.6. Sweden 15.1.7. CIS Countries 15.1.8. Rest of Europe 16. U.K. Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 16.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 16.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 16.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 16.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 17. France Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 17.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 17.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 17.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 17.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 18. Germany Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 18.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 18.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 18.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 18.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 19. Italy Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 19.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 19.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 19.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 19.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 20. Spain Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 20.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 20.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 20.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 20.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 21. Sweden Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 21.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 21.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 21.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 21.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 22. CIS Countries Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 22.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 22.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 22.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 22.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 23. Rest of Europe Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 23.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 23.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 23.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 23.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 24. Asia Pacific Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 24.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 24.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 24.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 24.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 25. Asia Pacific Supply Chain Big Data Analytics Market Analysis and Forecasts, by Country 25.1. Market Size (Value) Estimates & Forecast By Country, 2022-2029 25.1.1. China 25.1.2. India 25.1.3. Japan 25.1.4. South Korea 25.1.5. Australia 25.1.6. ASEAN 25.1.7. Rest of Asia Pacific 26. China Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 26.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 26.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 26.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 26.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 27. India Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 27.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 27.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 27.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 27.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 28. Japan Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 28.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 28.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 28.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 28.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 29. South Korea Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 29.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 29.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 29.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 29.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 30. Australia Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 30.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 30.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 30.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 30.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 31. ASEAN Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 31.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 31.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 31.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 31.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 32. Rest of Asia Pacific Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 32.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 32.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 32.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 32.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 33. Middle East Africa Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 33.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 33.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 33.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 33.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 34. Middle East Africa Supply Chain Big Data Analytics Market Analysis and Forecasts, by Country 34.1. Market Size (Value) Estimates & Forecast by Country, 2022-2029 34.1.1. South Africa 34.1.2. GCC Countries 34.1.3. Egypt 34.1.4. Nigeria 34.1.5. Rest of ME&A 35. South Africa Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 35.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 35.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 35.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 35.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 36. GCC Countries Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 36.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 36.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 36.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 36.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 37. Egypt Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 37.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 37.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 37.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 37.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 38. Nigeria Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 38.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 38.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 38.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 38.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 39. Rest of ME&A Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 39.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 39.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 39.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 39.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 40. South America Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 40.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 40.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 40.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 40.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 41. South America Supply Chain Big Data Analytics Market Analysis and Forecasts, by Country 41.1. Market Size (Value) Estimates & Forecast by Country, 2022-2029 41.1.1. Brazil 41.1.2. Argentina 41.1.3. Rest of South America 42. Brazil Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 42.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 42.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 42.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 42.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 43. Argentina Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 43.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 43.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 43.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 43.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 44. Rest of South America Supply Chain Big Data Analytics Market Analysis and Forecasts, 2022-2029 44.1. Market Size (Value) Estimates & Forecast By Component, 2022-2029 44.2. Market Size (Value) Estimates & Forecast By Deployment Mode, 2022-2029 44.3. Market Size (Value) Estimates & Forecast By Enterprise type, 2022-2029 44.4. Market Size (Value) Estimates & Forecast By End users, 2022-2029 45. Competitive Landscape 45.1. Geographic Footprint of Major Players in the Global Supply Chain Big Data Analytics Market 45.2. Competition Matrix 45.2.1. Competitive Benchmarking of Key Players By Price, Presence, Market Share, Applications and R&D Investment 45.2.2. New Product Launches and Product Enhancements 45.2.3. Market Consolidation 45.2.3.1. M&A by Regions, Investment and Verticals 45.2.3.2. M&A, Forward Integration and Backward Integration 45.2.3.3. Partnership, Joint Ventures and Strategic Alliances/ Sales Agreements 45.3. Company Profile : Key Players 45.3.1. SAP 45.3.1.1. Company Overview 45.3.1.2. Financial Overview 45.3.1.3. Geographic Footprint 45.3.1.4. Product Portfolio 45.3.1.5. Business Strategy 45.3.1.6. Recent Developments 45.3.2. Oracle 45.3.3. IBM 45.3.4. SAS Institute 45.3.5. Software AG 45.3.6. MicroStrategy 45.3.7. Tableau 45.3.8. Qlik 45.3.9. TIBCO 45.3.10. Cloudera 45.3.11. Logility 45.3.12. Savi Technology 45.3.13. Infor 45.3.14. RELEX Solutions 45.3.15. TARGIT 45.3.16. Voxware 45.3.17. The AnyLogic Company 45.3.18. Antuit 45.3.19. Axway 45.3.20. AIMMS 45.3.21. BRIDGEi2i 45.3.22. Domo 45.3.23. Datameer 45.3.24. 1010data 45.3.25. Rosslyn Analytics 45.3.26. Blue Yonder 45.3.27. Manhattan Associates 45.3.28. DataFactZ 46. Primary Key Insights